Objectives Neurophysiology of brain area related to movement and motor control

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1 Objectives Neurophysiology of brain area related to movement and motor control 1. Ascending pathways (sensory input) 2. Sensory input treatment, and thalamo-cortical & cortico-thalamic filter 3. Sensory cortical areas 4. Descending pathways (motor output) &motor unit definition 5. Synthesis of motor output organization 6. Toward parcellation, specialization and complexity 7. Pre-motor area definition, identification 8. Basal-ganglia organization direct & indirect pathways 9. Sensory motor transformation target hand Extrinsic Coordinate frame Fixed to external space Independent of hand movement Intrinsic coordinate frame Is related to and moves with the hand Dependent of muscles Sensori-motor transformation by the CNS 1

Objectives Neurophysiology of brain area related to movement and motor control 1. Ascending pathways (sensory input) 2. Sensory input treatment, and thalamo-cortical & cortico-thalamic filter 3.

2 Objectives Neurophysiology of brain area related to movement and motor control 1. Ascending pathways (sensory input) 2. Sensory input treatment, and thalamo-cortical & cortico-thalamic filter 3. Sensory cortical areas 4. Descending pathways (motor output) &motor unit definition 5. Synthesis of motor output organization 6. Toward parcellation, specialization and complexity 7. Pre-motor area definition, identification 8. Basal-ganglia organization direct & indirect pathways 9. Sensory motor transformation 10. Preferential direction of M1 neurons extrinsic-like code 11. Neuronal population coding 12. Emergence of muscle-like neurons in M1 13. Global movement induced by electrical stimulation of the cortex 14. Cortical plastcity (Georgopoulos et al 1982, JN) 2

3 Exemple of the determination of the timing of the first change in neuronal activity. Impulse activity was recorded from a single neuron during 6 movements toward the same target and is displayed as a raster (bottom) and as a perievent histogram (top). All trials and the histogram are oriented to the onset of movement. (Georgopoulos et al 1982, JN) Fig. 1. Raster activity of a single cell recorded in the motor cortex of a monkey during movements on a plane in different directions, indicated by the arrows at the center. T, range of target onset. Rasters are aligned to M, movement onset. Notice the short-latency, abrupt decrease of activity for movement direction at 2 o'clock Georgopoulos et al

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5 Objectives Neurophysiology of brain area related to movement and motor control 1. Ascending pathways (sensory input) 2. Sensory input treatment, and thalamo-cortical & cortico-thalamic filter 3. Sensory cortical areas 4. Descending pathways (motor output) &motor unit definition 5. Synthesis of motor output organization 6. Toward parcellation, specialization and complexity 7. Pre-motor area definition, identification 8. Basal-ganglia organization direct & indirect pathways 9. Sensory motor transformation 10. Preferential direction of M1 neurons extrinsic-like code 11. Neuronal population coding 12. Emergence of muscle-like neurons in M1 13. Global movement induced by electrical stimulation of the cortex 14. Cortical plastcity 5

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The movement direction is in yellow and the direction of the population vector in red.

7 An example of population coding of movement direction. The blue lines represent the vectorial contributions of individual cells in the population (N = 475). The movement direction is in yellow and the direction of the population vector in red. A 95% directional variability cone around the population vector (red). The population is the same as in Figure 1, but the movement direction (yellow) is different. 7

8 Evolution of the population vector in time. Front and side views of time series of population (P) and movement (M) vectors are shown. Population and movement vectors are normalized relative to their respective maximum. Movement vectors are averages from one animal. STZM, onset of target light; MOV, onset of movement 8

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Fig. 1. (A) Surface view showing the location of entry points with respect to the CS of 79 penetrations used in the present study.

The transformation is invariant with respect to the distance between a particular entry point and the CS.

The imaginary sections S1 S2 orthogonal to the CS is shown in B. A, anterior; M, medial. (B) Section view of the cortical depth in a plane orthogonal to the CS (S1 S2, in A).

13 Fig. 1. (A) Surface view showing the location of entry points with respect to the CS of 79 penetrations used in the present study. For graphical purposes, data from four hemispheres are transformed and plotted on an outline of a right hemisphere (see figure 6 in ref. 17). The transformation is invariant with respect to the distance between a particular entry point and the CS. The continuous line parallel to, and at a distance d from, the CS represents a borderline that demarcates the cortical surface into two regions (see text). The imaginary sections S1 S2 orthogonal to the CS is shown in B. A, anterior; M, medial. (B) Section view of the cortical depth in a plane orthogonal to the CS (S1 S2, in A). Dotted curves schematically represent the cortical laminae. Double lines illustrate the orientations of two imaginary penetrations P1 and P2 made nearby and farther away from the CS, respectively. The bisecting borderline is shown here in a similar fashion as in A. II VI cortical layers. (C) Examples of two penetrations analogous to P1 and P2. The entry points of the penetrations are color-shape coded in A and C. The PDs of directionally tuned cells isolated along the penetrations are shown as arrows, with the corresponding direction cosines in color. It can be seen that PDs were very similar along the penetration resembling P2 (red square), whereas they differed appreciably in the penetration resembling P1 (blue triangle). The average angle between PDs of all cell pairs was 19 for the former and 96 for the latter penetration. (Amirikian and Georgopoulos, 2003 PNAS) 13

For a particular movement, the discharge rate of the cell predicted by Eq.

14 Three-dimensional preferred directions (purple) of 634 motor cortical cells studied in three monkeys. The axes are in white. (Georgopoulos et al., 1993 Science) Three-dimensional directional tuning. The axes (white) meet at the origin of the movement. For a particular movement, the discharge rate of the cell predicted by Eq. 1 is proportional to the length of a line pointing in the direction of the movement and drawn from the origin to the surface (purple) of the tuning volume. The cell's preferred direction is indicated by the yellow cone. 14

The direction of movement is shown in yellow.

15 The population vector (green) obtained from the set of cells with preferred directions shown in Fig. 2. The direction of movement is shown in yellow. Images representing functional neuron density fields computed for two mutually orthogonal dimensions (Amirikian and Georgopoulos, 2003 PNAS) 15

16 Objectives Neurophysiology of brain area related to movement and motor control 1. Ascending pathways (sensory input) 2. Sensory input treatment, and thalamo-cortical & cortico-thalamic filter 3. Sensory cortical areas 4. Descending pathways (motor output) &motor unit definition 5. Synthesis of motor output organization 6. Toward parcellation, specialization and complexity 7. Pre-motor area definition, identification 8. Basal-ganglia organization direct & indirect pathways 9. Sensory motor transformation 10. Preferential direction of M1 neurons extrinsic-like code 11. Neuronal population coding 12. Emergence of muscle-like neurons in M1 13. Global movement induced by electrical stimulation of the cortex 14. Cortical plastcity Kakei, Hoffman, Strick Science,

17 Fig. 1. Experimental design: dissociation of extrinsic, joint and muscle coordinate frames with changes in forearm posture. (A) the monkey right hand gripping the handle of the manipulandum in 3 forearm postures. Pro, pronated; Sup, supinated, Mid, midway between pronation and supination. Ext, extension; Flx, flexion; Rad, radial deviation; Uln, ulnar deviation. Up and Down indicate direction of movements in space. (B, C) PDs of the seven task-related muscles ((B) 4 wrist muscles and (C) 3 finger muscles, respectively) when the limb was in the 3 forearm postures. APL, abductor pollicis longus; ECRB, extensor carpi radialis brevis; ECRL, extensor carpi radialis longus; ECU, extensor carpi ulnaris; ED23, extensor digitorum 2,3; EDC, extensor digitorum communis; FCR, flexor carpi radialis. (D) Normalized shifts of PDs of the task-related muscles in the three forearm postures. Left circle, the single vector represents the PDs of the task-related muscles in the Pro position, which were normalized to the Up direction. Middle circle, the unlabeled vectors represent the relative shifts of the PDs of the task-related muscles with forearm rotation from Pro to Mid. Right circle, the unlabeled vectors represent the relative shifts of the PDs of the task-related muscles with forearm rotation from Pro to Sup. The vectors labeled Extrinsic represent the PDs of ideal vectors fixed to an extrinsic coordinate frame. The vectors labeled Joint represent the PDs of ideal vectors fixed to the wrist joint. Note that the unlabeled vectors are clearly separated from the Extrinsic and Joint vectors. Muscle-like neuron in M1 Shift de 79 Pro-Sup 28 out 88 Extrinsic-like neuron in M1 44 out 88 Extrinsic-like neuron In M1 influenced by joint Posture 16 out 88 Kakei, Hoffman, Strick Science,

Fig. 3. Spatiotemporal maps of activity of the same M1 neurons illustrated in Fig. 2.

To construct these maps, we calculated averaged spike numbers in a 50-ms time window, sliding the time window by 25 ms, from2500 to 1500 ms relative to the

Then, contour plots of the spatiotemporal distribution of the neuron activity were generated with Surfer (Golden Software, Golden, Colorado).

18 Fig. 3. Spatiotemporal maps of activity of the same M1 neurons illustrated in Fig. 2. Neurons (A), (B), and (C) in this figure correspond to neurons A, B, and C in Fig. 2. To construct these maps, we calculated averaged spike numbers in a 50-ms time window, sliding the time window by 25 ms, from2500 to 1500 ms relative to the movement onset. The calculation was performed for each movement direction in each wrist posture. Then, contour plots of the spatiotemporal distribution of the neuron activity were generated with Surfer (Golden Software, Golden, Colorado). The maximum activity for any of the three wrist postures in the 50-ms analysis window was normalized to 100% (A: 155; B: 98; C: 124 spikes persecond). PDs in the Pro position were set to 0 in order to demonstrate the amount of the shift. PDs of neuron activity (18) for each posture are indicated by arrows. Kakei, Hoffman, Strick1 Science, 1999 Pre-motor cortex function 18

19 Kakei et al 2003 Neuroscience Research 19

20 Sensori-motor transformation with gain modulation 20

21 Fig. 1. Retrograde transneuronal transport of rabies virus from single muscles. When rabies virus is injected into a single digit muscle, it is transported in the retrograde direction to infect the motoneurons (i.e., first-order neurons) that innervate the muscle. Then virus is transported transneuronally in the retrograde direction to label all those second-order neurons that synapse on the infected motoneurons. These include dorsal root ganglion cells that supply group Ia muscle spindle afferents, spinal cord interneurons, and cortical neurons in layer V (CM cells). At longer survival times, virus can undergo another stage of retrograde transneuronal transport and label all those third-order neurons that synapse on the infected second-order neurons. For example, virus can move from second-order neurons in layer V to third-order neurons in layer III. Similarly, virus can move from second-order inter-neurons in the spinal cord to third-order cortical neurons in layer V. DRG, dorsal root ganglion cell; Int, interneuron; Mn, motoneuron; 1, first-order neuron; 2, second-order neuron; 3, third-order neuron. 21

22 How are the neurons that directly influence the motoneurons of a muscle distributed in the primary motor cortex (M1)? To answer this classical question we used retrograde transneuronal transport of rabies virus from single muscles of macaques. This enabled us to define cortico-motoneuronal (CM) cells that make monosynaptic connections with the motoneurons of the injected muscle. We examined the distribution of CM cells that project to motoneurons of three thumb and finger muscles. We found that the CM cells for these digit muscles are restricted to the caudal portion of M1, which is buried in the central sulcus. Within this region of M1, CM cells for one muscle display a remarkably widespread distribution and fill the entire mediolateral extent of the arm area. In fact, CM cells for digit muscles are found in regions of M1 that are known to contain the shoulder representation. The cortical territories occupied by CM cells for different muscles overlap extensively. Thus, we found no evidence for a focal representation of single muscles in M1. Instead, the overlap and intermingling among the different populations of CM cells may be the neural substrate to create a wide variety of muscle synergies.wefound two additional surprising results. First, 15 16% of the CM cells originate from area 3a, a region of primary somatosensory cortex. Second, the size range of CM cells includes both fast and slow pyramidal tract neurons. These observations are likely to lead to dramatic changes in views about the function of the CM system (Rathelot & Strick, PNAS, 2006) Objectives Neurophysiology of brain area related to movement and motor control 1. Ascending pathways (sensory input) 2. Sensory input treatment, and thalamo-cortical & cortico-thalamic filter 3. Sensory cortical areas 4. Descending pathways (motor output) &motor unit definition 5. Synthesis of motor output organization 6. Toward parcellation, specialization and complexity 7. Pre-motor area definition, identification 8. Basal-ganglia organization direct & indirect pathways 9. Sensory motor transformation 10. Preferential direction of M1 neurons extrinsic-like code 11. Neuronal population coding 12. Emergence of muscle-like neurons in M1 13. Global movement induced by electrical stimulation of the cortex 14. Cortical plastcity 22

23 Figure 1. An Example of a Complex Posture Evoked from Monkey 1 by Microstimulation of Precentral Cortex When this site was stimulated the left hand closed into a grip posture, turned to the face, moved toward the mouth, and the mouth opened. Stimulation was for 500 ms at 100 A and 200 Hz. Drawings were traced from video footage acquired at 30 frames per second. The 11 dotted lines show the frameby-frame position of the hand for 11 different stimulation trials. Each dot shows the part of the video image of the hand that was farthest from the elbow. The start point of each trajectory was distant from the mouth; the end point was at or near the mouth. Graziano et al EBR, 2004 Figure 2. Examples of Postures Evoked by Microstimulation of Precentral Cortex(A F) Six examples of postures of the left arm evoked from monkey 2. Stimulation on the right side of the brain caused movements mainly of the left side of the body. Postures of the right limbs shown in these traced video frames are incidental and not dependant on the stimulation. Final postures that involved the left hand near the edge of the workspace, such as in (F), could not be tested from all directions, but still showed convergence from the range of initial positions tested.(g) A posture of the mouth and tongue evoked from monkey 1. When this site was stimulated, the mouth opened partly and the tongue pointed toward the left canine (final posture). Three initial postures of the mouth and tongue are shown. For the evoked movements shown in (A), (D), and (E), stimulation was at 50 A; (B), (C), and (G), 100 A; (F), 75 A. For all sites, stimulation trains were presented for 500 ms at 200 Hz. 23

24 Figure 3. Electromyographic (EMG) Activity from Muscles of the Upper Arm during Stimulation of One Site in Primary Motor Cortex Stimulation at this site for 500 ms at 100 A evoked a final posture of the arm and hand including a partial flexion of the elbow. When the elbow was fully extended, stimulation caused it to flex to its final posture. When the elbow was fully flexed, stimulation caused it to extend to the final posture. Graziano et al, 2004, JNP Figure 5. Eight Example Postures Illustrating the Topographic Map Found in Precentral Cortex of Monkey 1A similar map (not shown) was obtained in monkey 2. The circle on the brain shows the area that could be reached with the electrode. The magnified view at the bottom shows the locations of the stimulation sites. The area to the left of the lip of the central sulcus represents the anterior bank of the sulcus. Stimulation on the right side of the brain caused movements mainly of the left side of the body. Postures of the right arm shown in these traced video frames are incidental and not dependant on the stimulation. For the evoked movements shown in (A) and (G), stimulation was at 50 A. In (B) (F) and (H), stimulation was at 100 A. For all sites, stimulation trains were presented for 500 ms at 200 Hz. 24

25 Objectives Neurophysiology of brain area related to movement and motor control 1. Ascending pathways (sensory input) 2. Sensory input treatment, and thalamo-cortical & cortico-thalamic filter 3. Sensory cortical areas 4. Descending pathways (motor output) &motor unit definition 5. Synthesis of motor output organization 6. Toward parcellation, specialization and complexity 7. Pre-motor area definition, identification 8. Basal-ganglia organization direct & indirect pathways 9. Sensory motor transformation 10. Preferential direction of M1 neurons extrinsic-like code 11. Neuronal population coding 12. Emergence of muscle-like neurons in M1 13. Global movement induced by electrical stimulation of the cortex 14. Cortical plastcity Classen et al,1998, JNP 25

26 conclusions From these results, it appears likely that the motor cortex undergoes continuous plastic modifications. Frequently repeated movements reinforce particular network connectional patterns, but those patterns weaken if the movements have not been recently executed. This principle may underlie the beneficial effect of preperformance practice ( e.g., in athletics or musical performance). It also may be a requirement for purposeful skill acquisition in intact humans and in the rehabilitation of persons with brain damage The main mechanisms that have been suggested for mediating reorganization in the cerebral cortex involve the unmasking of existing, but latent, horizontal connections (for a review, see Sanes and Donoghue 2000) Modulation of synaptic efficacy such as long-term potentiation (LTP) (Hess and Donoghue 1994; Hess and others 1996) or long-term depression (LTD) (Hess and Donoghue 1996). Such modification of synaptic efficacy was recently demonstrated in the horizontal connections in the motor cortex of rats that underwent training of a skilled motor task (Rioult-Pedotti and others 1998). Concept that the motor cortex contains multiple overlapping motor representations (Donoghue and others 1992; Schieber and Hibbard 1993; Sanes and others 1995) functionally connected through an extensive horizontal network (Huntley and Jones 1991). Although connections are abundant within somatic representations, they are sparse between them (Huntley and Jones 1991). By changing the strength of horizontal connections between motor neurons, functionally different neuronal assemblies can form, thereby providing a substrate to construct dynamic motor output zones. 26

27 Pharmacological modulations Lorazepan (LZ): GABAA enhancement, blocks induction of LTP Dextromethorphan (DM): blocks NMDA receptors involved in LTP induction Lamotrigine (LTG): gating of NA+ and Ca++ without affecting LTP induction 27

Cortical Control of Movement

Strick Lecture 2 March 24, 2006 Page 1 Cortical Control of Movement Four parts of this lecture: I) Anatomical Framework, II) Physiological Framework, III) Primary Motor Cortex Function and IV) Premotor